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Citing this Article

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Published on 12.11.15 in Vol 17, No 11 (2015): November

This paper is in the following e-collection/theme issue:

Works citing "Pro-Anorexia and Anti-Pro-Anorexia Videos on YouTube: Sentiment Analysis of User Responses"

Atte Oksanen, David Garcia, Anu Sirola, Matti Näsi, Markus Kaakinen, Teo Keipi, Pekka Räsänen

J Med Internet Res 2015 (Nov 12); 17(11):e256 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5007):

(note that this is only a small subset of citations)

  1. Provoost S, Ruwaard J, van Breda W, Riper H, Bosse T. Validating Automated Sentiment Analysis of Online Cognitive Behavioral Therapy Patient Texts: An Exploratory Study. Frontiers in Psychology 2019;10
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  2. Raitanen J, Oksanen A. Global Online Subculture Surrounding School Shootings. American Behavioral Scientist 2018;62(2):195
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  3. Gomes RF, Casais B. Feelings generated by threat appeals in social marketing: text and emoji analysis of user reactions to anorexia nervosa campaigns in social media. International Review on Public and Nonprofit Marketing 2018;15(4):591
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  4. Hillyer GC, MacLean SA, Beauchemin M, Basch CH, Schmitt KM, Segall L, Kelsen M, Brogan FL, Schwartz GK. YouTube Videos as a Source of Information About Clinical Trials: Observational Study. JMIR Cancer 2018;4(1):e10060
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  5. . Information Sharing to Promote Risky Health Behavior on Social Media. Journal of Health Communication 2019;24(4):359
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  6. Zunic A, Corcoran P, Spasic I. Sentiment Analysis in Health and Well-Being: Systematic Review. JMIR Medical Informatics 2020;8(1):e16023
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  7. Livas C, Delli K, Pandis N. “My Invisalign experience”: content, metrics and comment sentiment analysis of the most popular patient testimonials on YouTube. Progress in Orthodontics 2018;19(1)
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  8. . How Smoking Advocates are Connected Online: An Examination of Online Social Relationships Supporting Smoking Behaviors. Journal of Health Communication 2020;25(1):82
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  9. Primack BA, Escobar-Viera CG. Social Media as It Interfaces with Psychosocial Development and Mental Illness in Transitional Age Youth. Child and Adolescent Psychiatric Clinics of North America 2017;26(2):217
    CrossRef
  10. Rosenbusch H, Evans AM, Zeelenberg M. Multilevel Emotion Transfer on YouTube: Disentangling the Effects of Emotional Contagion and Homophily on Video Audiences. Social Psychological and Personality Science 2019;10(8):1028
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  11. Wang X, Parameswaran S, Bagul DM, Kishore R. Can online social support be detrimental in stigmatized chronic diseases? A quadratic model of the effects of informational and emotional support on self-care behavior of HIV patients. Journal of the American Medical Informatics Association 2018;25(8):931
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  12. . Mining location from social media: A systematic review. Computers, Environment and Urban Systems 2018;71:209
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  13. Wang T, Mentzakis E, Brede M, Ianni A. Estimating Determinants of Attrition in Eating Disorder Communities on Twitter: An Instrumental Variables Approach. Journal of Medical Internet Research 2019;21(5):e10942
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  14. Oksanen A, Näsi M, Minkkinen J, Keipi T, Kaakinen M, Räsänen P. Young people who access harm-advocating online content: A four-country survey. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2016;10(2)
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  15. Sirola A, Kaakinen M, Savolainen I, Oksanen A. Loneliness and online gambling-community participation of young social media users. Computers in Human Behavior 2019;95:136
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  16. Veletsianos G, Kimmons R, Larsen R, Dousay TA, Lowenthal PR, Sugimoto CR. Public comment sentiment on educational videos: Understanding the effects of presenter gender, video format, threading, and moderation on YouTube TED talk comments. PLOS ONE 2018;13(6):e0197331
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  17. Strand M, Gustafsson SA. Mukbang and Disordered Eating: A Netnographic Analysis of Online Eating Broadcasts. Culture, Medicine, and Psychiatry 2020;44(4):586
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  18. Pinto JP, Viana P, Nguyen NT, Szczerbicki E, Trawiński B, Nguyen VD. Improving Youtube video retrieval by integrating crowdsourced timed metadata. Journal of Intelligent & Fuzzy Systems 2019;37(6):7207
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  19. Garitaonandia C, Karrera-Xuarros I, Jiménez-Iglesias E, Larrañaga N. Menores conectados y riesgos online: contenidos inadecuados, uso inapropiado de la información y uso excesivo de internet. El profesional de la información 2020;
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  20. Wang T, Brede M, Ianni A, Mentzakis E. Characterizing dynamic communication in online eating disorder communities: a multiplex network approach. Applied Network Science 2019;4(1)
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  21. Piryani R, Madhavi D, Singh V. Analytical mapping of opinion mining and sentiment analysis research during 2000–2015. Information Processing & Management 2017;53(1):122
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  22. Bozkurt AP, Aras I. Cleft Lip and Palate YouTube Videos: Content Usefulness and Sentiment Analysis. The Cleft Palate-Craniofacial Journal 2021;58(3):362
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  23. Kaakinen M, Sirola A, Savolainen I, Oksanen A. Young people and gambling content in social media: An experimental insight. Drug and Alcohol Review 2020;39(2):152
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  24. Wang T, Brede M, Ianni A, Mentzakis E, Tang M. Social interactions in online eating disorder communities: A network perspective. PLOS ONE 2018;13(7):e0200800
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  25. DeJonckheere M, Nichols LP, Vydiswaran VV, Zhao X, Collins-Thompson K, Resnicow K, Chang T. Using Text Messaging, Social Media, and Interviews to Understand What Pregnant Youth Think About Weight Gain During Pregnancy. JMIR Formative Research 2019;3(2):e11397
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  26. Jelodar H, Wang Y, Rabbani M, Ahmadi SBB, Boukela L, Zhao R, Larik RSA. A NLP framework based on meaningful latent-topic detection and sentiment analysis via fuzzy lattice reasoning on youtube comments. Multimedia Tools and Applications 2021;80(3):4155
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  27. Holmes H, Lara AE, Brown GS. Social Media Use in College-age Youth: A Comprehensive Review and a Call to Action. Current Psychopharmacology 2020;9(2):128
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  28. . Exploring the Cognitive and Emotional Impact of Online Climate Change Videos on Viewers. Sustainability 2020;12(22):9571
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  29. Ventura V, Cavaliere A, Iannò B. #Socialfood: Virtuous or vicious? A systematic review. Trends in Food Science & Technology 2021;110:674
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  30. Mansur A, Allamsyah Z, Amalia P. The Performance of Indonesia’s President: A Sentiment Analysis in Social Media. IOP Conference Series: Materials Science and Engineering 2021;1077(1):012004
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  31. Pavan Kumar C, Dhinesh Babu L. Fuzzy based feature engineering architecture for sentiment analysis of medical discussion over online social networks. Journal of Intelligent & Fuzzy Systems 2021;40(6):11749
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  32. Benítez-Andrades JA, Alija-Pérez J, Vidal M, Pastor-Vargas R, García-Ordás MT. Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)–Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study. JMIR Medical Informatics 2022;10(2):e34492
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  33. Sheppard A, Ricciardelli R. Bio‐citizens online: A content analysis of pro‐ana and weight loss blogs. Canadian Review of Sociology/Revue canadienne de sociologie 2023;60(2):259
    CrossRef
  34. Ploderer B, Rezaei Aghdam A, Burns K. Patient-Generated Health Photos and Videos Across Health and Well-being Contexts: Scoping Review. Journal of Medical Internet Research 2022;24(4):e28867
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  35. Ferrey A, Ashworth G, Cabling M, Rundblad G, Ismail K. A thematic analysis of YouTube comments on a television documentary titled ‘Diabulimia: The World's most dangerous eating disorder’. Diabetic Medicine 2023;40(5)
    CrossRef
  36. Primack BA, Perryman KL, Crofford RA, Escobar-Viera CG. Social Media as It Interfaces with Psychosocial Development and Mental Illness in Transitional-Age Youth. Child and Adolescent Psychiatric Clinics of North America 2022;31(1):11
    CrossRef
  37. Lookingbill V, Mohammadi E, Cai Y. Assessment of Accuracy, User Engagement, and Themes of Eating Disorder Content in Social Media Short Videos. JAMA Network Open 2023;6(4):e238897
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  38. Alafwan B, Siallagan M, Putro US. Comments Analysis on Social Media: A Review. ICST Transactions on Scalable Information Systems 2023;
    CrossRef
  39. Suresh A, Pallempati LL, Saxena P, Ansari A, Bassi R, Bhandari A. Exploring YouTube Videos About Anorexia Nervosa on the Basis of Reliability, Popularity, and Contributions of Healthcare Professionals: A Cross-Sectional Study. Cureus 2023;
    CrossRef
  40. Huisman SM, Kraiss JT, de Vos JA. Examining a sentiment algorithm on session patient records in an eating disorder treatment setting: a preliminary study. Frontiers in Psychiatry 2024;15
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5007):

  1. Oksanen A, Miller BL, Savolainen I, Sirola A, Demant J, Kaakinen M, Zych I. Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis. 2020. Chapter 19:278
    CrossRef
  2. Kaakinen M, Oksanen A, Sirola A, Savolainen I, Garcia D. Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis. 2020. Chapter 38:542
    CrossRef
  3. Hou J, Park M. Social Web and Health Research. 2019. Chapter 7:123
    CrossRef
  4. Wu J, Yang Y, Sun P, Zhang M. E-Business. Digital Empowerment for an Intelligent Future. 2023. Chapter 14:156
    CrossRef